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Direct linkLu Yin; Ruosi Guo – European Journal of Education, 2025
This quasi-experimental study aims to investigate the effectiveness of artificial intelligence (AIVA app) within an interactive music-learning environment. The ANCOVA was used to compare the performance of students using Artificial Intelligence Virtual Artist (AIVA) and those studying with traditional lecture-based instructions. Students in the…
Descriptors: Artificial Intelligence, Music Education, Foreign Countries, Cultural Capital
Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
Download full textZhiqun Ouyang; Yujun Jiang; Huying Liu – International Review of Research in Open and Distributed Learning, 2024
This study, which is quasi-experimental in nature, looks into how language learners' willingness to communicate and engagement in English as a foreign language (EFL) classrooms are affected by Duolingo. The control and experimental groups comprised two complete classes with forty EFL students. To compare learner engagement and communication…
Descriptors: Artificial Intelligence, Information Technology, English (Second Language), Communication Strategies
Yating Zhang; Zhangyan Miao – European Journal of Education, 2025
This study investigates the influence of technological literacy in artificial intelligence (AI), augmented/virtual reality (AR/VR), and mobile applications on English as a Foreign Language (EFL) students' engagement and motivation in technology-enhanced classrooms. A total of 357 Chinese EFL students participated in a survey-based quantitative…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Learning Motivation
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Qianru Li; Kan Kan Chan – Education and Information Technologies, 2024
Mobile-assisted Language Learning (MALL) has been widely adopted in teaching and learning, yet there has been scant research concerning speaking test adaptation. An emerging type of mobile application is designed to facilitate test takers' performance in a high-stakes speaking test (e.g., the International English Language Testing System (IELTS)).…
Descriptors: Student Attitudes, Test Wiseness, Computer Assisted Testing, Handheld Devices
